Leonardo Victor de Knegt

Keyphrases

1. Antimicrobial Use 100%
2. Denmark 93%
3. Antimicrobial Resistance 75%
4. Herding 73%
5. Antimicrobial 71%
6. Serovars 47%
7. Human Salmonellosis 43%
8. Surveillance Data 43%
9. Source Attribution 41%
10. Tetracycline 41%
11. Attribution Model 37%
12. Growing pigs 34%
13. Clear Effect 34%
14. Cattle 34%
15. Whole Genome 34%
16. Risk Estimation 34%
17. Global Perspective 34%
18. Salmonella 34%
19. Global Applications 34%
20. Variable number Tandem Repeat 34%
21. Listeria Monocytogenes 34%
22. Metagenomic Next-generation Sequencing (mNGS) 34%
23. Infectious Transmission 34%
24. Weaner pigs 34%
25. Contact Tracing 34%
26. Quantitative Microbial Risk Assessment 34%
27. Institutional Memory 34%
28. Reduction of Antimicrobials Use 34%
29. Animal Reservoir 34%
30. Legal Intervention 34%
31. Yellow Card 34%
32. Epidemiology 34%
33. Vaccination 34%
34. Farm Level 34%
35. Integrated Surveillance 34%
36. Molecular Typing 34%
37. Fecal Microbiota 34%
38. Register-based 34%
39. Salmonella Isolates 34%
40. Swine Herds 34%
41. European Union 34%
42. Salmonella Dublin 34%
43. Endemic Infection 34%
44. Metagenomics 31%
45. Tetracycline Resistance 31%
46. Model Fitting 29%
47. Danish Model 27%
48. Resistance Genes 24%
49. Aminoglycosides 24%
50. Lincosamides 24%